Monitoring system for potential users with depression using sentiment analysis

This paper presents a monitoring solution for users with potential psychological disturbs, specifically stress. The phrases extracted from Social Networks are filtered by mood and scored using a sentiment-analysis-metric that considers personal characteristics, such as gender and age. The solution informs, to authorized persons, the emotional changes of the users.